TY - JOUR
T1 - Microbial biomass – not diversity – drives soil carbon and nitrogen mineralization in Spanish holm oak ecosystems
AU - Bruni, Elisa
AU - Yuste, Jorge Curiel
AU - Menichetti, Lorenzo
AU - Flores, Omar
AU - Guasconi, Daniela
AU - Guenet, Bertrand
AU - Hereș, Ana Maria
AU - Lehtonen, Aleksi
AU - Mäkipää, Raisa
AU - Pallandt, Marleen
AU - Pérez-Izquierdo, Leticia
AU - Richy, Etienne
AU - Santonja, Mathieu
AU - Tupek, Boris
AU - Manzoni, Stefano
N1 - Publisher Copyright:
© 2025
PY - 2025/8
Y1 - 2025/8
N2 - Soil microbial communities drive essential ecosystem functions, catalyzing biogeochemical cycles and contributing to climate regulation. However, due to the complexity of microbial communities, the magnitude and direction of microbial biomass and diversity contributions to carbon (C) and nutrient cycling remain unclear. For this reason, most models predicting soil organic matter (SOM) dynamics at the ecosystem level do not explicitly describe the role of microorganisms as mediators of SOM decomposition. Incorporating microbial properties, and especially diversity, into ecosystem models remains an open question, requiring careful consideration of the tradeoff between model complexity and performance. This work addresses this knowledge gap by implementing a simple C and nitrogen (N) cycling model to predict heterotrophic respiration and net N mineralization rates in soils sampled under different land-uses and tree health conditions across Spain. To understand the role of microorganisms on ecosystem functioning, we progressively incorporated microbial biomass and diversity (i.e., alpha diversity of taxa and of fungal functional groups), and selected the model that optimized prediction accuracy, while minimizing complexity. We found that microbial biomass had a strong and positive effect on both C and N mineralization rates, with heterotrophic respiration being nearly linearly controlled by biomass. In contrast, microbial diversity had minimal but negative effects on mineralization processes, with land-use differences explaining part of the variability in these effects. Our study confirms microbial biomass as a key driver of C and N mineralization rates, while highlights that microbial diversity based on taxonomic identification inadequately explains microbial effects on these ecosystem functions.
AB - Soil microbial communities drive essential ecosystem functions, catalyzing biogeochemical cycles and contributing to climate regulation. However, due to the complexity of microbial communities, the magnitude and direction of microbial biomass and diversity contributions to carbon (C) and nutrient cycling remain unclear. For this reason, most models predicting soil organic matter (SOM) dynamics at the ecosystem level do not explicitly describe the role of microorganisms as mediators of SOM decomposition. Incorporating microbial properties, and especially diversity, into ecosystem models remains an open question, requiring careful consideration of the tradeoff between model complexity and performance. This work addresses this knowledge gap by implementing a simple C and nitrogen (N) cycling model to predict heterotrophic respiration and net N mineralization rates in soils sampled under different land-uses and tree health conditions across Spain. To understand the role of microorganisms on ecosystem functioning, we progressively incorporated microbial biomass and diversity (i.e., alpha diversity of taxa and of fungal functional groups), and selected the model that optimized prediction accuracy, while minimizing complexity. We found that microbial biomass had a strong and positive effect on both C and N mineralization rates, with heterotrophic respiration being nearly linearly controlled by biomass. In contrast, microbial diversity had minimal but negative effects on mineralization processes, with land-use differences explaining part of the variability in these effects. Our study confirms microbial biomass as a key driver of C and N mineralization rates, while highlights that microbial diversity based on taxonomic identification inadequately explains microbial effects on these ecosystem functions.
KW - Biodiversity
KW - Biogeochemistry
KW - Climate change
KW - Forest soil
KW - Microorganisms
KW - Modeling
UR - https://www.scopus.com/pages/publications/105008910923
UR - https://res.slu.se/id/publ/71d4cf87-f3ba-4d57-b935-63fce05daac0
U2 - 10.1016/j.geoderma.2025.117408
DO - 10.1016/j.geoderma.2025.117408
M3 - Journal article
AN - SCOPUS:105008910923
SN - 0016-7061
VL - 460
JO - Geoderma
JF - Geoderma
M1 - 117408
ER -